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NVIDIA brings trillion parameter AI models to Windows enterprise desktops

NVIDIA announced the DGX Station for Windows, a deskside AI supercomputer built on the GB300 Grace Blackwell Ultra Desktop Superchip. It is the first system capable of running 1-trillion-parameter models locally. The hardware integrates a Blackwell Ultra GPU with a 72-core Grace CPU to deliver 20 petaflops of performance.
Model Capacity
Up to 1 trillion parameters
Compute Performance
20 petaflops FP4
System Memory
748GB coherent memory
Networking
800Gb/s ConnectX-8 SuperNIC
Processor
72-core NVIDIA Grace CPU

Enterprise AI is shifting toward autonomous agents that need direct access to Windows applications. While heavy inference previously required Linux data centers, this hardware brings that compute to the desktop, joining the NVIDIA RTX Spark launch to scale local agentic performance. This move tracks alongside the Windows-centric focus of OpenAI's Windows update.

Users can build secure agents via NVIDIA OpenShell, a runtime that sandboxes agents using native Windows primitives. The system enables parallel execution of frontier agents and complements NVIDIA's physical AI agent skills release for high-throughput tasks. Hardware from partners like Dell and HP is expected to ship in Q4 2026 with 748GB of memory and 800Gb/s networking.

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Introducing NVIDIA DGX Station for Windows, the world's most powerful deskside AI supercomputer with Windows powered by NVIDIA GB300. ✅ Run frontier AI models with up to 1 trillion parameters locally ✅ Build and run secure AI agents on Windows with NVIDIA OpenShell ✅ Built by @ASUS, @Dell, @GIGABYTE, @HP, @msigaming, and @Supermicro #NVIDIAGTC https://t.co/82tqvvNzJU

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Still wondering? A few quick answers below.

NVIDIA DGX Station for Windows is a deskside AI supercomputer designed to build and run autonomous AI agents locally. It is the first system of its kind capable of running frontier-class AI models with up to 1 trillion parameters within the Windows ecosystem.

NVIDIA OpenShell is an open-source runtime for autonomous agents. It uses native Windows security and containment primitives to create isolated sandboxes for each agent, ensuring that security and privacy policies are enforced at the system level rather than through behavioral prompts.

NVIDIA expects the DGX Station for Windows to be available in the fourth quarter of 2026. The systems will be built and distributed by global partners including ASUS, Dell Technologies, GIGABYTE, HP, MSI, and Supermicro.

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